Projects

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COMPASs - COMbining interdisciplinary Perspectives on Artificial intelligent Systems: navigating towards human-centred Artificial Intelligence Vrije Universiteit Brussel

Jan Danckaert
Informatics and Applied Informatics, Electronics and Informatics, Mathematics, Communication Sciences, Business technology and Operations, Applied Physics and Photonics, Physics
In this project we want to contribute to the development and the deployment of human-centred Artificial Intelligent systems. Despite tremendous progress in the past few years, the field is currently facing some of the most important challenges at the interface between theoretical computer science, applied data science, and sociotechnical studies. Indeed, the most successful machine learning models (deep neural ...

Intelligent contracting: legal aspects of the precontractual use of artificial intelligence KU Leuven

Bernard Tilleman
Faculty of Law and Criminology, Kulak Kortrijk Campus, Centre for Methodology of Law, Electronic Circuits and Systems (ECS)

The precontractual use of artificial intelligence (AI) systems is on the rise. Parties increasingly often use such systems as a source of information, or they delegate the negotiation and formation of the contract to AI systems. Alternatively, they may leave it to the AI system to determine certain elements of their agreement, to avoid having to determine them themselves. This is highly problematic, as the application of the legal regime to ...

The KU Leuven Institute for Artificial Intelligence (Leuven.AI): an interdisciplinary collaboration regarding artificial intelligence. KU Leuven

Luc De Raedt
Declarative Languages and Artificial Intelligence (DTAI)

The mission of Leuven.AI is to

1) Unite AI and its renowned AI experts at KU Leuven in an interdisciplinary centre of excellence.

2) Foster AI research by providing a forum for exchanging ideas and for initiating projects and collaborations on AI.

3) Foster AI education by offering courses and contributing to education programmes.

4) Offer expertise on all aspects of AI, including on the possibilities and limitations ...

Neural-symbolic artificial intelligence for real-world settings KU Leuven

Luc De Raedt
Declarative Languages and Artificial Intelligence (DTAI)
Neural-symbolic artificial intelligence is the sub-field of AI that investigates the integration of deep learning and logic. This integration offers the best of both worlds: the learning capabilities of neural networks and the reasoning capabilities of logic. Although the field is moving at an amazing pace, it is not yet mature enough to be applied on real-world settings. One of the main reasons for this is that these neural-symbolic frameworks ...

IOF GEAR: Artificial Intelligence Lab Vrije Universiteit Brussel

Ann Nowé
Brussels University Consultation Center, Electromobility research centre, Applied Physics, Data Analytics Laboratory, Business technology and Operations, Public Health Sciences, Biostatistics and medical informatics, Artificial Intelligence supported Modelling in clinical Sciences, Radiation Therapy, Centre of Expertise on Gender, Diversity and Intersectionality, Mathematics, Digital Mathematics, Department of Bio-engineering Sciences, Basic (bio-) Medical Sciences, Chemistry, Informatics and Applied Informatics, Electronics and Informatics, Artificial Intelligence
The AI Lab is a VUB consortium of researchers coming from different backgrounds (computer science, mathematics, economics, linguistics, physics, psychology and philosophy), reflecting the inherent interdisciplinary nature of AI and its intersection with other scientific domains. This interdisciplinarity is essential for tackling the more complex challenges in industry and society. Since its inception in 1983 (as the first AI lab on the European ...

Sound Streams: bioinspired artificial intelligence for learning in continuous auditory streams Ghent University

Dick Botteldooren
Department of Information technology

Inspired by neuroscience and biology, the project SoundStreams proposes to combine the most promising elements from models for auditory perception and learning to face the challenge of creating artificial intelligence from being exposed to a continuous sound stream. In contrast to most artificial intelligence systems, the proposed model will use internal representations that accurately account for the passage of time; it will learn only what ...

A Methodology for Analysis and Optimization of Distributed Artificial Intelligence. University of Antwerp

Peter Hellinckx
Internet Data Lab (IDLab)
Although the foundations of Artificial Intelligence (AI) have been around for a long time, advances in computational performance and research in novel AI techniques have led to a revival of this research domain. With the advent of the Internet of Things (IoT), numerous "smart" applications driven by AI, have found their way into our everyday lives. Due to the computational complexity of these techniques, currently a common approach is to ...

Research Programme Artificial Intelligence - 2021 Ghent University

Piet Demeester
Department of Information technology

We are not always aware of it, but artificial intelligence (AI) is gradually penetrating all areas of our lives and our economy. How should we deal with it? Five Flemish universities and five Flemish research institutes - KU Leuven, Universiteit Antwerpen, Universiteit Gent, Universiteit Hasselt, Vrije Universiteit Brussel, Flanders Make, Sirris, VIB, VITO and imec - form a consortium for strategic basic research in AI. The Flemish AI ...

Development of a novel adaptive training tool that uses artificial intelligence to provide individualized biomechanical feedback for runners in the real-world. KU Leuven

Benedicte Vanwanseele
Human Movement Biomechanics Research Group, Declarative Languages and Artificial Intelligence (DTAI)
Running is a primary exercise catalyst against obesity-related diseases, yet many runners fail to meet their fitness and performance goals due to overuse injury. Current popular mobile running apps and wearables track fitness metrics i.e. speed, heart rate and calories spent, but largely ignore safety aspects related to injury-risk i.e. asymmetry, instability, impact shock severity, or excessive loading. In this project we focus on advancing ...